function and prediction intervals are obtained. …

on predictive accuracy of aggregate demand in a systematic way. The results of the prediction experiments are compared to …

cash flows for the prediction of future cash flows. Using a sample of 4,397 Spanish companies (mostly privately held), we … that the out-of-sample prediction errors provided by the accrual-based earnings model are significantly lower than those … obtained with the cash flows model. We also regress the decrease in prediction errors brought about by the addition of accruals …

of prediction using big data. In this paper, our over-arching question is whether such big data are useful for modelling … benchmark econometric models; and all used in the prediction of 11 key macroeconomic variables relevant for monetary policy …, SPCA yields MSFE-best prediction models in many cases, particularly when coupled with shrinkage. This result provides …

measures. Our empirical analysis centers around the implementation of a series of simulation and prediction experiments, as … well as a discussion of the stochastic properties of seasonal unit root models. Our prediction experiments are based on … of greater than one-step ahead, our SUR model perform poorly when used for prediction, suggesting that parameter …

From the early-1950s on, F.A. Hayek was concerned with the development of a methodology of sciences that study systems … elucidate the implications of Hayek's methodology with respect to the specific dimensions along which the scientist's knowledge …); yet, despite the fact that his conceptions of both complex phenomena and the methodology appropriate to their …